Enhancing Species Distribution Models by Considering Dispersal Ability.

Area of Science:

• Ecology
• Conservation Biology
• Climate Change Science

Background:

• Climate change causes species range shifts, necessitating accurate biodiversity conservation strategies.
• Species Distribution Models (SDMs) predict species' potential distributions under climate change.
• Current SDMs often neglect species' dispersal abilities, potentially leading to inaccurate future distribution predictions and risk assessments.

Purpose of the Study:

• To assess the impact of dispersal constraints on Species Distribution Model (SDM) predictions.
• To compare SDM outcomes with and without considering species' dispersal abilities.
• To highlight the importance of integrating dispersal dynamics for reliable biodiversity projections.

Main Methods:

• An experiment was designed using 10 species with diverse dispersal capabilities.
• Species Distribution Models (SDMs) were employed to predict potential future distributions.
• Two scenarios were compared: one incorporating species' dispersal ability and another assuming unlimited dispersal.

Main Results:

• Ignoring dispersal constraints led to an overprediction of suitable habitats for the studied species.
• Failure to account for dispersal can result in underestimating species extinction risks.
• Overestimation of suitable habitats may also lead to an overestimation of invasive species' range expansion potential.

Conclusions:

• Dispersal constraints significantly impact Species Distribution Model (SDM) predictions.
• Integrating realistic dispersal dynamics into SDMs is essential for accurate biodiversity conservation planning.
• Improved SDM accuracy enhances conservation efforts, invasive species management, and overall biodiversity protection under climate change.